



from __future__ import annotations

import collections
import pprint
from pathlib import Path







def  lowerCAmelCase_	(lowerCAmelCase__:		str  ):





			"""simple docstring"""


			return "".join(sorted(lowerCAmelCase__  )  )







def  lowerCAmelCase_	(lowerCAmelCase__:		str  ):





			"""simple docstring"""


			return word_by_signature[signature(lowerCAmelCase__  )]


a      :  str			     =			Path(__file__).parent.joinpath('words.txt').read_text(encoding='utf-8')
a      :  List[Any]			     =			sorted({word.strip().lower() for word in data.splitlines()})

a      :  Any			     =			collections.defaultdict(list)
for word in word_list:
	word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
	a      :  Union[str, Any]			     =			{word: anagram(word) for word in word_list if len(anagram(word)) > 1}

	with open('anagrams.txt', 'w') as file:
		file.write('all_anagrams = \n ')
		file.write(pprint.pformat(all_anagrams))











from ...configuration_utils import PretrainedConfig
from ...utils import logging


a      :  List[Any]			     =			logging.get_logger(__name__)







class 				_a				(   _lowerCAmelCase					):
			A      		=	'''timm_backbone'''

			def __init__(self,   SCREAMING_SNAKE_CASE_=None,   SCREAMING_SNAKE_CASE_=3,   SCREAMING_SNAKE_CASE_=True,   SCREAMING_SNAKE_CASE_=True,   SCREAMING_SNAKE_CASE_=None,   **SCREAMING_SNAKE_CASE_,   )       ->   Tuple:
						super().__init__(**SCREAMING_SNAKE_CASE_					)
						UpperCAmelCase_:		Dict							      =     backbone
						UpperCAmelCase_:		Optional[Any]							      =     num_channels
						UpperCAmelCase_:		Optional[Any]							      =     features_only
						UpperCAmelCase_:		Any							      =     use_pretrained_backbone
						UpperCAmelCase_:		List[str]							      =     True
						UpperCAmelCase_:		Union[str, Any]							      =     out_indices if out_indices is not None else (-1,)






